Raw milk of sheep — Gross Production Value in Bangladesh
Bangladesh: Raw milk of sheep — Gross Production Value was 45,881 1000 Int$ in 2024. ◆ Volatile
Raw milk of sheep — Gross Production Value in Bangladesh, 1961–2024
Source: Food and Agriculture Organization of the United Nations. Measured in 1000 Int$.
Analysis
Bangladesh recorded 45,881 1000 Int$ for raw milk of sheep — gross production value in 2024. That is the highest value across all 64 years on record.
The figure is up 6.9% on the previous year and up 147.0% over ten years.
Over the whole period, raw milk of sheep — gross production value in Bangladesh peaked at 45,881 1000 Int$ in 2024 and was at its lowest, 5,372 1000 Int$, in 1991.
Bangladesh ranks 25th of 77 countries on this measure, in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Raw milk of sheep — Gross Production Value in Bangladesh, year by year
| Year | 1000 Int$ | Change |
|---|---|---|
| 1961 | 9,222 1000 Int$ | — |
| 1962 | 9,991 1000 Int$ | +8.3% |
| 1963 | 10,760 1000 Int$ | +7.7% |
| 1964 | 13,706 1000 Int$ | +27.4% |
| 1965 | 9,222 1000 Int$ | -32.7% |
| 1966 | 8,454 1000 Int$ | -8.3% |
| 1967 | 7,685 1000 Int$ | -9.1% |
| 1968 | 7,685 1000 Int$ | +0.0% |
| 1969 | 7,685 1000 Int$ | +0.0% |
| 1970 | 7,515 1000 Int$ | -2.2% |
| 1971 | 9,222 1000 Int$ | +22.7% |
| 1972 | 11,528 1000 Int$ | +25.0% |
| 1973 | 14,431 1000 Int$ | +25.2% |
| 1974 | 15,371 1000 Int$ | +6.5% |
| 1975 | 16,395 1000 Int$ | +6.7% |
| 1976 | 17,463 1000 Int$ | +6.5% |
| 1977 | 18,616 1000 Int$ | +6.6% |
| 1978 | 15,371 1000 Int$ | -17.4% |
| 1979 | 16,310 1000 Int$ | +6.1% |
| 1980 | 9,052 1000 Int$ | -44.5% |
| 1981 | 9,222 1000 Int$ | +1.9% |
| 1982 | 9,436 1000 Int$ | +2.3% |
| 1983 | 9,649 1000 Int$ | +2.3% |
| 1984 | 10,247 1000 Int$ | +6.2% |
| 1985 | 10,888 1000 Int$ | +6.3% |
| 1986 | 11,357 1000 Int$ | +4.3% |
| 1987 | 11,827 1000 Int$ | +4.1% |
| 1988 | 12,339 1000 Int$ | +4.3% |
| 1989 | 9,222 1000 Int$ | -25.3% |
| 1990 | 12,297 1000 Int$ | +33.3% |
| 1991 | 5,372 1000 Int$ | -56.3% |
| 1992 | 5,373 1000 Int$ | +0.0% |
| 1993 | 5,374 1000 Int$ | +0.0% |
| 1994 | 5,497 1000 Int$ | +2.3% |
| 1995 | 5,658 1000 Int$ | +2.9% |
| 1996 | 5,874 1000 Int$ | +3.8% |
| 1997 | 6,009 1000 Int$ | +2.3% |
| 1998 | 5,821 1000 Int$ | -3.1% |
| 1999 | 5,865 1000 Int$ | +0.8% |
| 2000 | 5,910 1000 Int$ | +0.8% |
| 2001 | 5,954 1000 Int$ | +0.7% |
| 2002 | 6,155 1000 Int$ | +3.4% |
| 2003 | 6,412 1000 Int$ | +4.2% |
| 2004 | 6,680 1000 Int$ | +4.2% |
| 2005 | 7,463 1000 Int$ | +11.7% |
| 2006 | 6,923 1000 Int$ | -7.2% |
| 2007 | 6,953 1000 Int$ | +0.4% |
| 2008 | 8,082 1000 Int$ | +16.2% |
| 2009 | 6,984 1000 Int$ | -13.6% |
| 2010 | 7,228 1000 Int$ | +3.5% |
| 2011 | 8,997 1000 Int$ | +24.5% |
| 2012 | 10,552 1000 Int$ | +17.3% |
| 2013 | 15,462 1000 Int$ | +46.5% |
| 2014 | 18,579 1000 Int$ | +20.2% |
| 2015 | 21,257 1000 Int$ | +14.4% |
| 2016 | 22,187 1000 Int$ | +4.4% |
| 2017 | 28,311 1000 Int$ | +27.6% |
| 2018 | 28,686 1000 Int$ | +1.3% |
| 2019 | 30,257 1000 Int$ | +5.5% |
| 2020 | 32,571 1000 Int$ | +7.6% |
| 2021 | 36,551 1000 Int$ | +12.2% |
| 2022 | 39,873 1000 Int$ | +9.1% |
| 2023 | 42,904 1000 Int$ | +7.6% |
| 2024 | 45,881 1000 Int$ | +6.9% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1960s | 9,379 1000 Int$ | 7,685 1000 Int$ | 13,706 1000 Int$ | 9 |
| 1970s | 14,222 1000 Int$ | 7,515 1000 Int$ | 18,616 1000 Int$ | 10 |
| 1980s | 10,324 1000 Int$ | 9,052 1000 Int$ | 12,339 1000 Int$ | 10 |
| 1990s | 6,314 1000 Int$ | 5,372 1000 Int$ | 12,297 1000 Int$ | 10 |
| 2000s | 6,752 1000 Int$ | 5,910 1000 Int$ | 8,082 1000 Int$ | 10 |
| 2010s | 19,152 1000 Int$ | 7,228 1000 Int$ | 30,257 1000 Int$ | 10 |
| 2020s | 39,556 1000 Int$ | 32,571 1000 Int$ | 45,881 1000 Int$ | 5 |
Countries ranked near Bangladesh
- 22 Saudi Arabia 50,985 1000 Int$ compare
- 23 Mauritania 48,590 1000 Int$ compare
- 24 Burkina Faso 47,973 1000 Int$ compare
- 26 Portugal 43,347 1000 Int$ compare
- 27 Bulgaria 42,315 1000 Int$ compare
- 28 Yemen 40,918 1000 Int$ compare
More agriculture & rural data for Bangladesh
- Agriculture, forestry, and fishing, value added (current US$), annual 3.73 % change on previous year (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 0.1142 current US$ per US$ of GDP (2025)
- Agriculture, forestry, and fishing, value added (current US$), per 296.72 current US$ per person (2025)
- Rural population, annual growth rate 0.38 % change on previous year (2025)
- Rural population, per unit of GDP 0.0003 units per US$ of GDP (2025)
- Rural population, per capita 0.6676 units per person (2025)
- Share of GDP from agriculture 11.4% (2025)
- Agriculture as a share of GDP vs. GDP per capita 11.4% (2025)
- Agricultural raw materials exports 0.8% (2018)
- Agricultural raw materials imports 6.0% (2018)
Frequently asked questions
- What is raw milk of sheep — gross production value in Bangladesh?
- Raw milk of sheep — gross production value in Bangladesh was 45,881 1000 Int$ in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest raw milk of sheep — gross production value recorded in Bangladesh?
- The highest recorded value was 45,881 1000 Int$ in 2024.
- What is the lowest raw milk of sheep — gross production value recorded in Bangladesh?
- The lowest recorded value was 5,372 1000 Int$ in 1991.
- How does Bangladesh rank for raw milk of sheep — gross production value?
- Bangladesh ranks 25th out of 77 countries with data for 2024.
- Is raw milk of sheep — gross production value rising or falling in Bangladesh?
- Over the last ten years it is up 147.0%. The long-run trend across the full record is volatile.
- Where does this Bangladesh data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Raw milk of sheep — Gross Production Value (constant 2014-2016 thousand I$). Statizoid updates them automatically from the source API.
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About this data
The domain provides detailed data on the value of agricultural production that is calculated by the agricultural production data and the price data at farm gate. Thus, the value of production measures the agricultural production in monetary terms at the farm gate level.